AI agents call get_workspace_file_info to retrieve information from Databricks MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves metadata about workspace files—a passive, non-destructive read operation. It has no side effects, does not execute code, modify data, or delete resources. The blast radius of misuse is minimal; an agent querying file metadata poses negligible risk compared to tools like dbfs_delete, create_job, or cancel_run visible on this server.
From the tool's definition Tool name 'get_workspace_file_info' and description 'Retrieve workspace metadata' indicate a read-only operation that queries and returns information about workspace files without modifying or executing anything.
Documented attack patterns abuse exactly the kind of access get_workspace_file_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Databricks MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_workspace_file_info:
{
"version": "1",
"default": "deny",
"tools": {
"get_workspace_file_info": {}
}
}get_workspace_file_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve workspace metadata. It is categorised as a Read tool in the Databricks MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Databricks MCP Server MCP server in PolicyLayer and add a rule for get_workspace_file_info: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Databricks MCP Server. Nothing to install.
get_workspace_file_info is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_workspace_file_info rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for get_workspace_file_info. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
get_workspace_file_info is provided by the Databricks MCP Server MCP server (markov-kernel/databricks-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Databricks MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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38 Databricks MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.